Instructions to use thalllsssss/20d6d133-8ab6-494b-8fdd-5acaa24ce750 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thalllsssss/20d6d133-8ab6-494b-8fdd-5acaa24ce750 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Korabbit/llama-2-ko-7b") model = PeftModel.from_pretrained(base_model, "thalllsssss/20d6d133-8ab6-494b-8fdd-5acaa24ce750") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c57ba48664c63fa1626380498270d062a7592e236b98dc6d1bf48bc55b6036db
- Size of remote file:
- 80.1 MB
- SHA256:
- a127aeb7ff3b368a893ec247c5a12adf1ab1c1bb5929dbdfa8557e3d2f236b29
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.